Emilie Morvant
8 papers · 2013–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
generalization bound
(4)
majority vote
(3)
kernel methods
(2)
domain adaptation
(2)
statistical learning theory
(1)
multimodal learning
(1)
multi-label classification
(1)
pac-bayes theory
(1)
gibbs classifier
(1)
source domain
(1)
target domain
(1)
structured output learning
(1)
structured output
(1)
gibbs distribution
(1)
hypothesis class
(1)
max-margin markov networks
(1)
spanning tree inference
(1)
adversarial attack
(1)
linear classifier
(1)
stochastic model
(1)
Papers
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
AISTATS 2024
A PAC-Bayes Analysis of Adversarial Robustness
NeurIPS 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
NeurIPS 2021
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
AISTATS 2019
A New PAC-Bayesian Perspective on Domain Adaptation
ICML 2016
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
NeurIPS 2014
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
ICML 2013
The Multi-Task Learning View of Multimodal Data
ACML 2013